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January 28, 2025IEEE Journal of Biomedical and Health Informatics

Personalized Continuous Blood Pressure Tracking Through Single Channel PPG in Wearable Scenarios

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Why the study?

Continuous blood pressure monitoring using photoplethysmography faces challenges in real-world wearable scenarios, including poor signal quality, complex model computation, and the need for frequent calibration.

Does a personalized continuous BP tracking pipeline using single-channel PPG accurately monitor blood pressure in wearable scenarios?

Population

134 subjects in daytime, nighttime, and abnormal states

Design

Validation study of a personalized continuous blood pressure tracking pipeline

Authors

CZCongcong ZhouSir Run Run Shaw HospitalXRXianglin RenZhejiang UniversityQWQing WangMinistry of Education

Discussion

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Implication

Enables feasible personalized BP tracking via wearable PPG; leaves open clinical validation before practice adoption.

Structured PICO

Does a personalized continuous BP tracking pipeline using single-channel PPG accurately monitor blood pressure in wearable scenarios?

P
Population
134 subjects in various monitoring scenarios (daytime, nighttime, and abnormal states)
I
Intervention
Personalized continuous BP tracking pipeline using single-channel PPG (automatic signal quality grading, SCI-GTCN lightweight BP model, adaptive calibration)
O
Outcome
Blood pressure monitoring accuracy (ME±SD) during rapid BP changes, circadian rhythm fluctuations, and long-term monitoringsurrogate

A novel personalized continuous blood pressure tracking pipeline using single-channel PPG demonstrated accuracy within AAMI standards, showing promise for deployment on wearable healthcare devices.

Limitations

  • subject distribution differs from AAMI standards

Cite This Study

Zhou et al. (2025) studied this question.

synapsesocial.com/papers/6a7cc380cc6f1443deba669fhttps://doi.org/10.1109/jbhi.2025.3535788
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Cuffless Blood Pressure Estimation Algorithms for Continuous Health-Care Monitoring2016 · 620 citations
  2. 2A Universal Standard for the Validation of Blood Pressure Measuring Devices2018 · 468 citations
  3. 3Assessment of Non-Invasive Blood Pressure Prediction from PPG and rPPG Signals Using Deep Learning2021 · 143 citations
  4. 4Continuous Blood Pressure Estimation Using Exclusively Photopletysmography by LSTM-Based Signal-to-Signal Translation2021 · 108 citations
  5. 5An Unobtrusive and Calibration-free Blood Pressure Estimation Method using Photoplethysmography and Biometrics2019 · 98 citations